code: def test_set_fixed_length(length: int) -> None:
      opts = get_config()
      setattr(
          opts, "audio_augmentation.set_fixed_length.length", length
      )
      transform = SetFixedLength(opts)
  
      C, N = 2, 8
  
      x = {"samples": {"audio": torch.rand(C, N)}}
  
      output = transform(x)
      assert output["samples"]["audio"].shape == (C, length)
  
file_path: ml-cvnets/tests/transforms/test_audio.py
imports: import copy
  import os
  import shutil
  import tempfile
  import pytest
  import scipy.io.wavfile
  import torch
  from data.transforms.audio import AudioResample, Gain, LambdaAudio, MFCCs, Noise, Roll, SetFixedLength, StandardizeChannels
  from tests.configs import get_config
label_desc: Use image node_id 3 for calling a global function with example usage: test_set_fixed_length(length) without return types